Key Highlights
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A new catalyst design uses mesopores to trap nickel nanoparticles, creating a highly efficient system for turning plant-based materials into sustainable aviation fuel. This breakthrough could lead to cleaner biofuels that meet the strict freezing point and density requirements for commercial flights.
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A new neural network can identify the key components inside a DC-DC power converter, like its capacitors and inductors, without needing extra sensors or complex equipment. This makes it easier and cheaper to monitor and maintain the stability of power systems in everything from phones to electric vehicles.
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A new method uses space-time correlations between pressure and velocity to pinpoint the exact sources of noisy pressure fluctuations on surfaces, like those on an aircraft wing. This provides engineers with a precise tool to diagnose and reduce unwanted noise and vibration in aerodynamic designs.
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A new visual localization system can find a robot’s position using different types of 3D maps, including those generated by advanced AI (NeRF), with NeRF maps showing the best performance. This allows robots to navigate more reliably in complex environments, even in directions they haven’t traveled before.
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A robotic walker uses variable stiffness control to share steering authority between the machine and an older adult with mild cognitive impairment, providing gentle guidance without taking over completely. This approach helps users maintain a sense of independence and control while receiving navigational assistance.
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